Users' ability to perceive misinformation: An information quality assessment approach
Alja\v{z} Zrnec, Marko Po\v{z}enel, Dejan Lavbi\v{c}

TL;DR
This study explores how users' perceptions of information quality influence their ability to detect fake news, highlighting the roles of domain knowledge, education, and personality traits in improving detection accuracy.
Contribution
It introduces an empirical approach using information quality dimensions to assess user fake news detection capabilities and identifies key user characteristics that enhance detection.
Findings
Domain knowledge positively affects fake news detection.
Education combined with domain knowledge improves detection.
Conscientiousness significantly contributes to fake news detection.
Abstract
Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation of fake news, which misinforms readers and is used to serve the interests of the creators. As a result, automated fake news detection systems are attracting attention. However, automatic fake news detection presents a major challenge; content evaluation is increasingly becoming the responsibility of the end-user. Thus, in the present study we used information quality (IQ) as an instrument to investigate how users can detect fake news. Specifically, we examined how users perceive fake news in the form of shorter paragraphs on individual IQ dimensions. We also investigated which user characteristics might affect fake news detection. We performed an…
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Taxonomy
TopicsMisinformation and Its Impacts · Spam and Phishing Detection · Complex Network Analysis Techniques
